SC Villa vs Maroons: result 1-0 and analysis
Premier LeagueRegular Season - 1Kick-off on November 20, 2015 at 01:00 PM (UTC)Mutesa II Wankulukuku Stadium, Kampala
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What was the result of SC Villa vs Maroons?
SC Villa won 1-0 on November 20, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Villa have 8 wins, 3 draws and 4 defeats; Maroons have 1, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2015 | Sadolin Paints(away) | 1-0 | Premier League |
| Oct 27, 2015 | Tooro United(away) | 1-2 | Premier League |
| Oct 2, 2015 | Vipers(home) | 1-2 | Premier League |
| Sep 22, 2015 | BUL(home) | 0-0 | Premier League |
| Sep 15, 2015 | Lweza(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2015 | Police(away) | 2-2 | Premier League |
| Oct 31, 2015 | KCCA(home) | 1-2 | Premier League |
| Oct 27, 2015 | JMC Hippos(away) | 0-1 | Premier League |
| Oct 3, 2015 | The Saints(home) | 1-0 | Premier League |
| Sep 29, 2015 | BUL(home) | 1-4 | Premier League |
How many goals should we expect?
SC Villa score 1.2 and concede 0.9 goals per match over their last 15; Maroons score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Villa | 1.2 | 0.9 | 5 | 8/15 | 6/15 |
| Maroons | 0.8 | 1.6 | 2 | 4/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
SC Villa sit 3rd in Premier League (11 points from 5 matches) and Maroons sit 9th (7 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SC Villa | 5 | 3 | 2 | 0 | 8 | 2 | 11 |
| 9 | Maroons | 6 | 2 | 1 | 3 | 9 | 7 | 7 |
A question about SC Villa vs Maroons?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy